INCORPORATING HUMAN ENERGY FIELDS INTO FAMILY RESEARCH AND THERAPY

The study of family interactions has a long tradition from different disciplines and methodologies, but one area ignored is the investigation of human energy fields (HEFs). While the concept has been around for centuries, only recently has it been utilized in Western contemporary practice. Combining emotional expression, family processes, and HEF perspectives, this study was developed to investigate the relationship between emotional expression and HEF interactions in relation to reported closeness between parents and adolescents. The methodology was designed to analyze self-report and observational data on 56 dyads and triads within two-parent families with a high school adolescent. The data were analyzed in terms of simple correlations and a step-wise regression. The findings are discussed along with implications for further research and therapy with adolescents and families

AN OBSERVATIONAL STUDY OF HUMAN ENERGY FIELDS IN INFANTS AND YOUNG CHILDREN

The purpose of this investigation was to observe human energy fields (HEF) in infants and young children. The sample (N 18) consisted of three age groups of approximately 6, 30, and 54 month old children. In this exploratory study, coding was devised to help extrapolate information thar leads to a different understanding of development in children. Literature was reviewed from observations of the HEF of adults and ways of looking ar children historically. This approach was combined with traditional observational methods of studying children to develop this research projecr, using qualirative analysis to identifY any parterns within and be[\veen groups. The observations were made by three observers viewing the HEF, using a facilitator, coding forms, and video documentarion. The findings from rhe study show patterns within and bet\Veen groups indicating there is a developmental HEF change that occurs over the three age groups

Faster algorithms for 1-mappability of a sequence

In the k-mappability problem, we are given a string x of length n and integers m and k, and we are asked to count, for each length-m factor y of x, the number of other factors of length m of x that are at Hamming distance at most k from y. We focus here on the version of the problem where k = 1. The fastest known algorithm for k = 1 requires time O(mn log n/ log log n) and space O(n). We present two algorithms that require worst-case time O(mn) and O(n log^2 n), respectively, and space O(n), thus greatly improving the state of the art. Moreover, we present an algorithm that requires average-case time and space O(n) for integer alphabets if m = {\Omega}(log n/ log {\sigma}), where {\sigma} is the alphabet size

Short Communication: Lack of Support for Socially Connected HIV-1 Transmission among Young Adult Black Men Who Have Sex with Men

© Copyright 2017, Mary Ann Liebert, Inc. 2017. We explore the phylogenetic relationships among HIV sequences sampled from young adult black men who have sex with men (YAB-MSM), who are connected through peer referral/social ties and who attend common venues. Using 196 viral sequences sampled from the peripheral blood mononuclear cells of 10 individuals, our preliminary phylogenetic results indicate that these socially connected YAB-MSM are infected with distantly related viruses and provide no evidence for viral transmission between network members. Our results suggest that HIV-prevention strategies that target young adult MSM should extend beyond their network members and local community

Democratically engaged assessment: Reimagining the purposes and practices of assessment in community engagement

This document is a project of reclamation and transformation, one that is both ongoing and rooted in years of dialogue within Imagining America and the work of its Assessing Practices of Public Scholarship research group (APPS). It emerges from our own experiences with assessment related to community engagement and from those of many other colleagues on campuses and in diverse communities. It is intended to bring together those who wish to reimagine assessment in light of its civic potential — to develop what we refer to as Democratically Engaged Assessment (DEA).Imagining Americ